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Implement real-time personalized recommendations using Amazon Personalize

AWS Machine Learning

Businesses use their data with an ML-powered personalization service to elevate their customer experience. Amazon Personalize accelerates your digital transformation with ML, making it easier to integrate personalized recommendations into existing websites, applications, email marketing systems, and more.

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning

Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences.

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How VistaPrint delivers personalized product recommendations with Amazon Personalize

AWS Machine Learning

To support small businesses on their brand-building journey, VistaPrint provides customers with personalized product recommendations, both in real time on vistaprint.com and through marketing emails. Transform the data to create Amazon Personalize training data. Import bulk historical data to train Amazon Personalize models.

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Build your multilingual personal calendar assistant with Amazon Bedrock and AWS Step Functions

AWS Machine Learning

They often find themselves struggling with language barriers when it comes to setting up reminders for events like business gatherings and customer meetings. The original message ( example in Norwegian ) is sent to a Step Functions state machine using API Gateway. Generate an action plan list for events.

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Drive hyper-personalized customer experiences with Amazon Personalize and generative AI

AWS Machine Learning

Today, we are excited to announce three launches that will help you enhance personalized customer experiences using Amazon Personalize and generative AI. Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users.

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How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps

AWS Machine Learning

LotteON aims to be a platform that not only sells products, but also provides a personalized recommendation experience tailored to your preferred lifestyle. The main AWS services used are SageMaker, Amazon EMR , AWS CodeBuild , Amazon Simple Storage Service (Amazon S3), Amazon EventBridge , AWS Lambda , and Amazon API Gateway.

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Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service

AWS Machine Learning

Amazon Personalize allows you to add sophisticated personalization capabilities to your applications by using the same machine learning (ML) technology used on Amazon.com for over 20 years. You can also add data incrementally by importing records using the Amazon Personalize console or API. No ML expertise is required.